iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1300
Single Precision Score
1607
Half Precision Score
422
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | February 01 2025 06:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 12.9-inch (4th generation) |
| Model ID | iPad8,11 |
| Motherboard | J420AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1013
188.5 IPS |
|
|
Image Classification (HP)
|
100% |
1272
236.6 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4626
5.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1806
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (HP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (Q)
|
92% |
186
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
4264
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3171
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4735
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
562
4.39 IPS |
|
|
Style Transfer (SP)
|
100% |
8859
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10685
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
3043
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.4 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.6 IPS |
|
|
Text Classification (Q)
|
93% |
267
358.5 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.94 IPS |
